Implementation of LSTM and Adam Optimization as a Cryptocurrency Polygon Price Predictor-Reference-Cited by-同舟云学术

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Implementation of LSTM and Adam Optimization as a Cryptocurrency Polygon Price Predictor

Published:2023-08-16 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Information Technology Research and Innovation (ICITRI)
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Author:

Hidayat Wahyutama Fitri¹,Julianto Muhammad Fahmi²,Malau Yesni³,Setiadi Ahmad⁴,Sriyadi ¹

Affiliation:

1. Sistem Informasi, Universitas Bina Sarana Informatika,Jakarta,Indonesia

2. Teknik Informatika, Universitas Bina Sarana Informatika,Jakarta,Indonesia

3. Teknik Elektro, Universitas Bina Sarana Informatika,Jakarta,Indonesia

4. Rekayasa Perangkat Lunak, Universitas Bina Sarana Informatika,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249212/10249253/10249571.pdf?arnumber=10249571

Reference19 articles.

1. Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data

2. The psychology of cryptocurrency trading: Risk and protective factors

3. The Effect of Herding Behavior on Millennial Generation Intentions in Investing Crypto Assets

4. Deep Learning Model Analysis and Web-Based Implementation of Cryptocurrency Prediction

5. Cryptocurrency Price Prediction Using LSTM, ARIMA, and Linear Regression;Bisht;Int. Res. J. Mod. Eng. Technol. Sci.,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced Bitcoin Price Direction Forecasting With DQN;IEEE Access;2024

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